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Duration 14 hours
Course Outline
Kubernetes Introduction
- Defining the role of Kubernetes
- Advantages of container orchestration strategies
- Comparison between Kubernetes, Docker Swarm, and alternative orchestration tools
Foundational Components and Structure
- Exploring control plane and node configurations
- Understanding Pods, ReplicaSets, and Deployment resources
- Utilizing Services, labels, and selectors
Establishing a Kubernetes Environment
- Leveraging Minikube or Kind for local cluster simulation
- Mastering the kubectl command-line utility
- Accessing and auditing internal cluster elements
Application Deployment Strategies
- Creating and overseeing pods and deployment cycles
- Implementing rolling updates and rollback procedures
- Managing container image lifecycles
Network Architecture and Service Exposure
- Overview of internal cluster networking
- Setting up internal and external service endpoints
- Basics of DNS resolution, ingress controllers, and load balancing
Data Persistence and Storage Management
- Interacting with persistent volumes and volume claims
- Configuring storage classes and dynamic provisioning features
- Strategies for ensuring data retention
Operational Monitoring and Issue Resolution
- Analyzing pod logs and system events
- Applying common kubectl diagnostic techniques
- Best practices for defining resource limits and health monitoring
Conclusions and Future Learning Pathways
Requirements
- Familiarity with containerization principles (such as Docker)
- Proficiency in using the Linux command line interface
- Foundational knowledge of networking protocols and system administration
Intended Participants
- Developers responsible for shipping containerized applications
- DevOps engineers overseeing container orchestration platforms
- System administrators tasked with supporting Kubernetes infrastructure
Testimonials (4)
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